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31 results for “statistical optimization”
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Research ArticleOpen accessIn the abstractAlteration of the Aquifer Water in Hyperarid Climate, by Wastewater: Cases of Groundwater from Ouargla (Northern Sahara, Algeria)Djidel Mohamed, Bousnoubra-Kherici Houria, Kherici Nacer, Nezli Imed-EddineThe present study is registered, on the area of Ouargla (the Sahara septentrional, Algeria) reports of the aquifer contamination by the anarchistic urban rejections. By its geomorphology (basin), its hyperarid climate and the presence of chotts, the area is subjected to an important degree of vulnerability, encouraged by the discharges of wastewater (domestic and irrigation). These factors expose aquifer's water … …American Journal of Environmental Sciences, Vol. 4, Issue 6 · 31 Dec 2008 · 7,108 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUse of Response Surface Methodology for Optimization of Nickel Adsorption in an Aqueous Solution by ClayNesrine Turki, Nesrine Boujelben, Zaineb Bakari, Jalel BouzidIn this study, Scanning Electron Microscopy (SEM), X-ray diffraction and BET surface area (SBET) methods were employed to characterize the adsorbent. Response Surface Methodology (RSM) was consider as a good method to assess Ni adsorption treatment and Box-Behnken design was used to examine simultaneous the effects of different experimental variables (pH, adsorbent dosage, contact time). Experimental results showed high adsorption … …American Journal of Environmental Sciences, Vol. 17, Issue 5 · 24 Nov 2021 · 6,292 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEquilibrium Studies and Optimization of Phosphate Adsorption from Synthetic Effluent Using Acid Modified Bio-SorbentBabayemi Akinpelu Kamoru, Onukwuli Okechukwu DominicAdsorption potential of periwinkle shell (PRW), an agricultural waste, for the removal of phosphate from aqueous solution was investigated through equilibrium studies at various experimental conditions. PRW was carbonized and chemically activated with 1MH2SO4 before it was subjected to characterization using Fourier Transform Infrared (FT-IR), Energy Dispersive X-ray (EDX) and Scanning Electron Microscopy (SEM). Adsorption data were analyzed using various … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 15 Dec 2017 · 7,666 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimization of Coaching Using Six SigmaDumitru Colibaba-Evulet, Andrei EvuletProblem statement: In today’s sports world, coaching and training methods are the subject of intensive competition amongst rivals. Innovative technologies, methodologies and preparation methods are employed to achieve a sustainable competitive advantage. Effective performance measurement, statistical analysis and data based decision taking have been identified as key elements towards efficient performance management. The statistical approach has been emphasized in order … …Journal of Social Sciences, Vol. 7, Issue 3 · 16 Jul 2011 · 8,054 accessesView PDFCite
EditorialOpen accessAll words, across the recordNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,588 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordRESPONSE SURFACE METHODOLOGY ANALYSIS OF POLYPHENOL RECOVERY FROM ARTICHOKE WASTEAntonio ZuorroLarge amounts of a solid waste consisting mainly of outer bracts and stems are produced from the industrial processing of artichokes. In this study, the recovery of polyphenols from the two waste components was investigated. Extraction experiments were carried outby an environmentally friendly procedure using aqueous ethanol as solvent. The total polyphenol content, expressed as mg of GAE per g … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 3 Jul 2014 · 7,189 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHEURISTIC DISCRETIZATION METHOD FOR BAYESIAN NETWORKSMariana D.C. Lima, Silvia M. Nassar, Pedro Ivo R.B.G. Rodrigues et al.Bayesian Network (BN) is a classification technique widely used in Artificial Intelligence. Its structure is a Direct Acyclic Graph (DAG) used to model the association of categorical variables. However, in cases where the variables are numerical, a previous discretization is necessary. Discretization methods are usually based on a statistical approach using the data distribution, such as division by quartiles. In … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 7,054 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWeb Document Segmentation Using Frequent Term Sets for SummarizationChitra Pasupathi, Baskaran Ramachandran, Sarukesi KarunakaranQuery sensitive summarization aims at extracting the query relevant contents from web documents. Web page segmentation focuses on reducing the run time overhead of the summarization systems by grouping the related contents of a web page into segments. At query time, query relevant segments of the web page are identified and important sentences from these segments are extracted to compose … …Journal of Computer Science, Vol. 8, Issue 12 · 19 Dec 2012 · 6,672 accessesView PDFCite